'indicator' 검색 결과

Create rollout plans for application and infrastructure changes. Organize readiness checks, deployment steps, health indicators, rollback procedures, and stakeholder communications, adapting the detail to the target environment, change type, and level of risk.

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• Prepare a production deployment plan
• Define rollback steps and decision criteria
• Set post-deployment health checks

Convert a Vibe-Trading backtest strategy or a written trading strategy into a Python class for vnpy. Map indicators and trading signals to vnpy conventions, with asset-specific order handling and instructions for loading the strategy for backtesting or live trading.

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• Export a Vibe-Trading strategy to vnpy
• Turn written trading rules into a CtaTemplate class
• Adapt order handling for A-shares, futures, or crypto

Track USDT, USDC, and other stablecoins to assess capital entering or leaving crypto markets. Combine supply changes, issuance and redemption, exchange balances, transfer activity, and movements between blockchains into a structured liquidity report.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Review USDT and USDC issuance and redemption
• Assess changes in stablecoin balances on exchanges
• Compare stablecoin flows across blockchains

Assess market sentiment using fear and greed measures, options activity, margin trading, foreign investment flows, and social media discussion. Combine indicators on a common scale to produce a dashboard and explain signs of excessive optimism or fear.

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• Create a market sentiment dashboard
• Compare Put-Call Ratio with VIX
• Review Chinese A-share margin activity and foreign investment flows

Choose financial data sources and tools for price history, financial statements, news, and economic research. The skill maps market coverage, credentials, access limits, and fallback options, and provides rules for checking important figures against independent sources.

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• Choose price data sources for historical strategy testing
• Find tools for financial statements, news, and economic indicators
• Check required API keys and alternative data sources

Retrieve stock prices, futures quotes, exchange rates, and economic indicators with the free Python library AKShare. The skill explains market-specific functions, symbol formats, and data preparation for analysis and testing strategies against historical data.

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• Retrieve historical prices for Chinese, US, and Hong Kong stocks
• Collect Chinese GDP and consumer price data
• Check futures quotes and foreign exchange rates

Turn news, company announcements, and policy events into scored trading inputs. Store assessments in a standard CSV file, reduce their influence over time, and combine them with signals from price indicators to support event-based strategy testing.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Score the potential price impact of news and announcements
• Organize historical events into a standard CSV file
• Combine event assessments with price-based trading signals

Interpret economic indicators and central bank policy across China, the United States, and Europe. Identify the economic cycle stage and produce a structured assessment of whether to increase, maintain, or reduce allocations to major asset classes.

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• Assess the economic cycle using growth and inflation data
• Interpret policy signals from the Fed, PBOC, and ECB
• Review allocation directions across major asset classes

Investigate process hollowing, where malicious code replaces a legitimate process in memory. Compare memory with disk files, examine process relationships, and correlate network activity to document suspicious processes and guide containment.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating process injection alerts from EDR
• Examining suspicious behavior in legitimate Windows processes
• Finding threats that run in memory

Investigate suspicious mobile apps by examining permissions, network traffic, and runtime behavior. Use observed evidence to identify signs of data theft, SMS interception, credential stealing, or communication with attacker control servers, then classify the suspected malware.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Triaging suspicious APK or IPA samples
• Investigating possible data leaks from mobile apps
• Checking for SMS interception and credential theft

Investigate possible insider threats by correlating endpoint and security logs. Examine unusual data access, off-hours activity, bulk downloads, and privilege abuse, then document supporting evidence, risk, confidence, and recommended actions after checking the context for false positives.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating bulk downloads before an employee leaves
• Reviewing data access outside an employee's duties
• Examining unauthorized queries by service accounts

Build or tune a monitoring pipeline that learns normal user behavior from activity logs. Use Elasticsearch or OpenSearch to score unusual activity, compare colleagues in similar roles, and combine warning signs into insider threat alerts.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Building continuous monitoring for insider threats
• Scoring unusual logins and large downloads
• Comparing behavior across similar job roles

Check industrial process data servers for unauthorized clients and suspicious data patterns using a Python detector. Provides alerts for missing or constant values and investigation checks for attackers moving between IT and operational technology networks.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Checking industrial historian servers for unauthorized clients
• Investigating missing or suspiciously constant process data
• Reviewing signs of movement between IT and OT networks

Investigate forged Kerberos authentication tickets in Active Directory by checking Windows logs for unusual encryption, excessive ticket lifetimes, and missing authentication requests. Produce a JSON report of suspicious indicators with risk ratings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected forged authentication tickets
• Checking for possible krbtgt credential theft
• Building detection rules from authentication logs

Develop attack detection for SCADA systems that monitor and control industrial equipment. Compare network traffic and process measurements with normal behavior to identify unauthorized commands, altered sensor data, communication disruption, and indicators of known industrial malware.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Introducing intrusion detection in a SCADA environment
• Investigating suspected attacks on industrial control systems
• Creating detection rules for industrial protocol abuse

Investigate compromised credentials across AWS, Azure, and GCP by correlating security alerts and audit logs. Examines unusual API activity and suspicious sign-ins, helps assess the affected scope, and guides containment actions such as disabling keys and revoking sessions.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigate cloud API activity from unfamiliar locations
• Assess exposure after a credential leak notification
• Correlate suspicious sign-ins across cloud providers

Detect unauthorized cryptocurrency mining in cloud workloads by combining billing changes, CPU usage, mining pool connections, and process alerts. Follow workflows to preserve evidence, isolate affected resources, and trace how attackers gained access.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating sudden cloud billing increases
• Responding to GuardDuty cryptocurrency alerts
• Checking containers for unauthorized mining processes

Assess whether stolen Kerberos tickets, credentials used for network authentication, can enable access to other systems during authorized testing. Guide ticket extraction and reuse, review detection indicators, and document evidence for security reports.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Authorized testing of access through reused tickets
• Checking detection of Kerberos ticket theft
• Collecting evidence for lateral movement reports

Investigate reported phishing emails by checking sender details, links, and attachments. Identify affected recipients and exposed login credentials, guide removal of malicious messages across the organization, and secure compromised accounts with password resets and session revocation.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating a suspicious email reported by an employee
• Assessing exposure after a link click or credential entry
• Removing phishing messages across organizational mailboxes

Simulate man-in-the-middle attacks, where traffic is intercepted between communicating systems, in authorized environments. Use Bettercap, Ettercap, and mitmproxy to test encryption enforcement, certificate validation, and network detection, then document findings and recommendations.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Testing HTTPS enforcement and certificate validation
• Checking detection of network spoofing
• Demonstrating the risks of unencrypted traffic

Build a central platform for collecting, analyzing, and sharing cyber threat information. Connect MISP, OpenCTI, TheHive, and Cortex to import feeds, add context to suspicious indicators, manage cases, and track platform activity.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Build a central threat intelligence platform
• Automate threat feed ingestion
• Add context to suspicious IP addresses and domains

Build incident response dashboards that bring affected systems, containment progress, indicators of compromise, and response timelines into one view. Help security teams coordinate active incidents and prepare operational reports and executive briefings.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Coordinating an active security incident
• Tracking affected systems and containment
• Reviewing response timelines after an incident

Set up an email reporting button and an automated security response workflow. Classify reported messages, extract attack indicators, remove confirmed phishing emails, and send feedback to the people who reported them.

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• Deploying a phishing reporting button in Outlook
• Automating triage of a dedicated reporting mailbox
• Retracting confirmed phishing emails across inboxes

Search Windows PowerShell logs for traces of Empire, a framework used after a system is compromised. Identify characteristic launch commands, encoded code, module calls, and communication paths, then report suspicious events with timelines and severity scores.

한국어 요약은 준비 중입니다. 영어 요약을 표시하고 있습니다.

• Investigating suspected Empire activity
• Checking encoded commands and communication paths
• Building detection rules from Empire indicators